基于稀疏技术的原对偶内点法电压无功功率优化

A PRIMAL DUAL INTERIOR POINT METHOD FOR OPTIMAL VOLTAGE/REACTIVE POWER CONTROL WITH SPARSITY STRUCTURE

文章结合电力系统的稀疏特性，提出了一种基于稀疏技术的原对偶内点法电压无功优化控制数学模型，并给出了提高原对偶内点法计算速度的措施。所提算法在实际电力系统中的试算表明，该方法能够有效地解决大规模电力系统中带有大量不等式约束的电压无功优化控制问题；同经典的二次规划法以及采用致密模型的原对偶内点法比较表明，所提算法在速度上有明显的优越性。

This paper presents a primal dual interior point method based algorithm with sparsity structure, which deals with voltage/reactive power optimization control problems in large scale power systems. Comparing with quadratic programming (QP) algorithm and dense primal dual interior point method algorithm in which sparsity structure is not used, the pilot calculation results of East China power system show that the proposed algorithm is much faster. It is effective to solve optimal voltage/reactive power control problems in large scale power systems with a great amount of function inequality constraints.